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Identification of priority management areas for non-point source pollution based on critical source areas in an agricultural watershed of Northeast China
Zuo, D., Han, Y., Gao, X., Ma, G., Xu, Z., Bi, Y., … Yang, H. (2022). Identification of priority management areas for non-point source pollution based on critical source areas in an agricultural watershed of Northeast China. Environmental Research, 214, 113892 (9 pp.). https://doi.org/10.1016/j.envres.2022.113892
Micropollutants as internal probe compounds to assess UV fluence and hydroxyl radical exposure in UV/H<sub>2</sub>O<sub>2</sub> treatment
Wünsch, R., Mayer, C., Plattner, J., Eugster, F., Wülser, R., Gebhardt, J., … von Gunten, U. (2021). Micropollutants as internal probe compounds to assess UV fluence and hydroxyl radical exposure in UV/H2O2 treatment. Water Research, 195, 116940 (13 pp.). https://doi.org/10.1016/j.watres.2021.116940
Hydropower operations modulate sensitivity to meteorological forcing in a high altitude reservoir
Guénand, Y., Perga, M. E., Chanudet, V., & Bouffard, D. (2020). Hydropower operations modulate sensitivity to meteorological forcing in a high altitude reservoir. Aquatic Sciences, 82(3), 60 (13 pp.). https://doi.org/10.1007/s00027-020-00734-y
Principal component analysis and sparse polynomial chaos expansions for global sensitivity analysis and model calibration: application to urban drainage simulation
Nagel, J. B., Rieckermann, J., & Sudret, B. (2020). Principal component analysis and sparse polynomial chaos expansions for global sensitivity analysis and model calibration: application to urban drainage simulation. Reliability Engineering and System Safety, 195, 106737 (16 pp.). https://doi.org/10.1016/j.ress.2019.106737
Global and local sensitivity analysis to improve the understanding of physically-based urban wash-off models from high-resolution laboratory experiments
Naves, J., Rieckermann, J., Cea, L., Puertas, J., & Anta, J. (2020). Global and local sensitivity analysis to improve the understanding of physically-based urban wash-off models from high-resolution laboratory experiments. Science of the Total Environment, 709, 136152 (15 pp.). https://doi.org/10.1016/j.scitotenv.2019.136152
Uncertainty-based metal budget assessment at the watershed scale: Implications for environmental management practices
Zhou, L., Meng, Y., Vaghefi, S. A., Marras, P. A., Sui, C., Lu, C., & Abbaspour, K. C. (2020). Uncertainty-based metal budget assessment at the watershed scale: Implications for environmental management practices. Journal of Hydrology, 584, 124699 (12 pp.). https://doi.org/10.1016/j.jhydrol.2020.124699
A guideline for successful calibration and uncertainty analysis for soil and water assessment: A review of papers from the 2016 international SWAT conference
Abbaspour, K. C., Vaghefi, S. A., & Srinivasan, R. (2018). A guideline for successful calibration and uncertainty analysis for soil and water assessment: A review of papers from the 2016 international SWAT conference. Water, 10(1), 6 (18 pp.). https://doi.org/10.3390/w10010006
A scenario-based MCDA framework for wastewater infrastructure planning under uncertainty
Zheng, J., Egger, C., & Lienert, J. (2016). A scenario-based MCDA framework for wastewater infrastructure planning under uncertainty. Journal of Environmental Management, 183(3), 895-908. https://doi.org/10.1016/j.jenvman.2016.09.027
Hydrologic analysis of a tropical watershed using KINEROS2
Memarian, H., Balasundram, S. K., Talib, J., Sung, C. T. B., Sood, A. M., Abbaspour, K. C., & Haghizadeh, A. (2012). Hydrologic analysis of a tropical watershed using KINEROS2. EnvironmentAsia, 5(1), 84-93. https://doi.org/10.14456/ea.2012.11
Methodological aspects of multi-criteria decision analysis for policy support: a case study on pharmaceutical removal from hospital wastewater
Schuwirth, N., Reichert, P., & Lienert, J. (2012). Methodological aspects of multi-criteria decision analysis for policy support: a case study on pharmaceutical removal from hospital wastewater. European Journal of Operational Research, 220(2), 472-483. https://doi.org/10.1016/j.ejor.2012.01.055
Mechanism-based emulation of dynamic simulation models: concept and application in hydrology
Reichert, P., White, G., Bayarri, M. J., & Pitman, E. B. (2011). Mechanism-based emulation of dynamic simulation models: concept and application in hydrology. Computational Statistics and Data Analysis, 55(4), 1638-1655. https://doi.org/10.1016/j.csda.2010.10.011
Development of a mechanistic model (ERIMO-I) for analyzing the temporal dynamics of the benthic community of an intermittent Mediterranean stream
Schuwirth, N., Acuña, V., & Reichert, P. (2011). Development of a mechanistic model (ERIMO-I) for analyzing the temporal dynamics of the benthic community of an intermittent Mediterranean stream. Ecological Modelling, 222(1), 91-104. https://doi.org/10.1016/j.ecolmodel.2010.09.013
Global sensitivity analysis for model-based prediction of oxidative micropollutant transformation during drinking water treatment
Neumann, M. B., Gujer, W., & von Gunten, U. (2009). Global sensitivity analysis for model-based prediction of oxidative micropollutant transformation during drinking water treatment. Water Research, 43(4), 997-1004. https://doi.org/10.1016/j.watres.2008.11.049
ECOBAS - a tool to develop ecosystem models exemplified by the shallow lake model EMMO
Strube, T., Benz, J., Kardaetz, S., & Brüggemann, R. (2008). ECOBAS - a tool to develop ecosystem models exemplified by the shallow lake model EMMO. Ecological Informatics, 3(2), 154-169. https://doi.org/10.1016/j.ecoinf.2008.01.003
Analysis of the transferability of a biogeochemical lake model to lakes of different trophic state
Mieleitner, J., & Reichert, P. (2006). Analysis of the transferability of a biogeochemical lake model to lakes of different trophic state. Ecological Modelling, 194(1-3), 49-61. https://doi.org/10.1016/j.ecolmodel.2005.10.039
A standard interface between simulation programs and systems analysis software
Reichert, P. (2006). A standard interface between simulation programs and systems analysis software. Water Science and Technology, 53(1), 267-275. https://doi.org/10.2166/wst.2006.029
Uncertainty in predicting riverbed erosion caused by urban stormwater discharge
Daebel, H., & Gujer, W. (2005). Uncertainty in predicting riverbed erosion caused by urban stormwater discharge. Water Science and Technology, 52(5), 77-85. https://doi.org/10.2166/wst.2005.0113
UNCSIM. A computer programme for statistical inference and sensitivity, identifiability, and uncertainty analysis
Reichert, P. (2005). UNCSIM. A computer programme for statistical inference and sensitivity, identifiability, and uncertainty analysis. In J. M. Feliz-Teixeira & A. E. Carvalho Brito (Eds.), Proceedings of the 2005 European simulation and modelling conference (pp. 51-55).
Calibration and validation of an ASM3-based steady-state model for activated sludge systems—part II: prediction of phosphorus removal
Koch, G., Kühni, M., Rieger, L., & Siegrist, H. (2001). Calibration and validation of an ASM3-based steady-state model for activated sludge systems—part II: prediction of phosphorus removal. Water Research, 35(9), 2246-2255. https://doi.org/10.1016/S0043-1354(00)00515-7
Biogeochemical model of Lake Zürich: sensitivity, identifiability and uncertainty analysis
Omlin, M., Brun, R., & Reichert, P. (2001). Biogeochemical model of Lake Zürich: sensitivity, identifiability and uncertainty analysis. Ecological Modelling, 141(1-3), 105-123. https://doi.org/10.1016/S0304-3800(01)00257-5